4.6 Article

Genome-wide microarray expression analysis of CD4+ T cells from nonobese diabetic congenic mice identifies Cd55 (Daf1) and Acadl as candidate genes for type I diabetes

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JOURNAL OF IMMUNOLOGY
卷 180, 期 2, 页码 1071-1079

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AMER ASSOC IMMUNOLOGISTS
DOI: 10.4049/jimmunol.180.2.1071

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  1. NIAID NIH HHS [P01 AI039671, U19 AI056374, U19 AI056374-010002] Funding Source: Medline
  2. PHS HHS [60714, RFA A102-006] Funding Source: Medline
  3. Wellcome Trust [061859] Funding Source: Medline

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NOD.Idd3/5 congenic mice have insulin-dependent diabetes (Idd) regions on chromosomes 1 (Idd5) and 3 (Idd3) derived from the nondiabetic strains B10 and B6, respectively. NOD.Idd3155 mice are almost completely protected from type I diabetes (TID) but the genes within Idd3 and Idd5 responsible for the disease-altering phenotype have been only partially characterized. To test the hypothesis that candidate Idd genes can be identified by differential gene expression between activated CD4(+) T cells from the diabetes-susceptible NOD strain and the diabetes-resistant NOD.Idd3/5 congenic strain, genome-wide microarray expression analysis was performed using an empirical Bayes method. Remarkably, 16 of the 20 most differentially expressed genes were located in the introgressed regions on chromosomes 1 and 3, validating our initial hypothesis. The two genes with the greatest differential RNA expression on chromosome 1 were those encoding decay-accelerating factor (DAF, also known as CD55) and acyl-coenzyme A dehydrogenase, long chain, which are located in the Idd5.4 and Idd5.3 regions, respectively. Neither gene has been implicated previously in the pathogenesis of TID. In the case of DAF, differential expression of mRNA was extended to the protein level; NOD CD4(+) T cells expressed higher levels of cell surface DAF compared with NOD.Idd3155 CD4(+) T cells following activation with anti-CD3 and -CD28. DAF up-regulation was IL-4 dependent and blocked under Th1 conditions. These results validate the approach of using congenic mice together with genome-wide analysis of tissue-specific gene expression to identify novel candidate genes in T1D.

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